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Human face aging based on active appearance model using proper feature set
In this paper, a simulation of the human face evolution from youth to old age is presented. In this work, the goal is to maintain a person's...
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Appearance-based Debiasing of Deep Learning Models in Medical Imaging
Out-of-distribution data can substantially impede the performance of deep learning models. In medical imaging, domain shifts can, for instance, be...
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Did the Pandemic Increase Social Media–Induced Appearance Pressures?
Has the use of social media intensified and increased appearance-related pressures during the Covid-19 pandemic? A growing body of research has...
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Disentangling Shape and Pose for Object-Centric Deep Active Inference Models
Active inference is a first principles approach for understanding the brain in particular, and sentient agents in general, with the single imperative...
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Young-gaze: an appearance-based gaze estimation solution for adolescents
According to the World Health Organization survey, the global incidence of adolescent mental illness is 28%, while the disease detection rate is only...
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Object-Based Active Inference
The world consists of objects: distinct entities possessing independent properties and dynamics. For agents to interact with the world intelligently,...
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Robotic Active Tactile Sensing Inspired by Serotonergic Modulation Using Active Inference
When faced with uncertainty in the world, biological agents actively sense the environment to acquire the most informative input to fulfil their...
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3 s-STNet: three-stream spatial–temporal network with appearance and skeleton information learning for action recognition
Human action recognition (HAR) is one of the active research areas in computer vision. Although significant progress has been made in the field of...
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Active Semantic Localization with Graph Neural Embedding
Semantic localization, i.e., robot self-localization with semantic image modality, is critical in recently emerging embodied AI applications such as...
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Designing Explainable Artificial Intelligence with Active Inference: A Framework for Transparent Introspection and Decision-Making
This paper investigates the prospect of develo** human-interpretable, explainable artificial intelligence (AI) systems based on active inference...
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Active Learning and Transfer Learning for Document Segmentation
AbstractIn this paper, we investigate the effectiveness of classical approaches to active learning in the problem of document segmentation with the...
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Engineering applications and technical challenges of active array microsystems
In the post-Moore era, the development of active phased array antennas will inevitably trend towards active array microsystems. In this paper, the...
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Audio-video fusion strategies for active speaker detection in meetings
Meetings are a common activity in professional contexts, and it remains challenging to endow vocal assistants with advanced functionalities to...
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Empirical Analysis of the Dynamic Processes of Node Appearance and Disappearance in Temporal Networks
The paper presents an analysis of real scale-free networks, which incorporates a mechanism for the disappearance of edges and nodes over time....
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Application of Active Learning-based on Uncertainty Quantification to Breast Segmentation in MRI
In medical image segmentation with deep learning, large amounts of annotated data are needed to train precise models. Such annotations are...
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Neural Strands: Learning Hair Geometry and Appearance from Multi-view Images
We present Neural Strands, a novel learning framework for modeling accurate hair geometry and appearance from multi-view image inputs. The learned...
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Online concept evolution detection based on active learning
Concept evolution detection is an important and difficult problem in streaming data mining. When the labeled samples in streaming data insufficient...
